Build AI Agents with Microsoft Semantic Kernel (C# & .NET) | Full Practical Tutorial
Learn how to build real AI agents using Microsoft Semantic Kernel with C# and .NET. This video shows how to move beyond simple prompts and create tool-using, memory-powered, production-ready AI agents.
What you’ll learn in this video
What Microsoft Semantic Kernel really is (and why it matters)
How Semantic Kernel compares to LangChain & Auto-GPT
Building AI agents using C# & .NET
Plugins, skills, planners, and memory explained clearly
Creating AI workflows that actually reason & act
Best practices for production-ready agentic systems
0:00 – Why prompts alone are not enough
1:20 – What is Microsoft Semantic Kernel?
3:10 – Core architecture (Kernel, Plugins, Skills, Memory)
6:40 – Semantic Kernel vs LangChain vs Auto-GPT
9:30 – Live demo: building an AI agent in C#
15:10 – Plugins & tool calling explained
20:40 – Memory, embeddings & context handling
25:30 – Planning & orchestration in Semantic Kernel
29:50 – Real-world use cases (Copilot-style agents)
32:30 – Production tips & mistakes to avoid